Distinguished Engineer, Generative AI Systems (Remote-Eligible)

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Job Overview

The Distinguished Engineer, Generative AI Systems at Dice will play a pivotal role in the design, development, and implementation of advanced generative AI systems. This position involves collaborating with cross-functional teams to drive innovation and enhance AI capabilities. The successful candidate will demonstrate expertise in AI technologies and lead strategic initiatives aimed at delivering high-quality AI solutions. The role requires a blend of technical excellence, leadership qualities, and the ability to contribute to the overall vision of the organization in leveraging AI for competitive advantage.

Job Responsibilities

• Lead the design and architecture of generative AI systems, ensuring scalability and performance optimization.
• Collaborate with product management and engineering teams to define the strategic roadmap for AI solutions.
• Conduct research and stay abreast of emerging trends in AI technologies to influence product development.
• Mentor and guide engineering teams in implementing best practices for AI model development and deployment.
• Oversee the execution of robust testing and evaluation processes for AI models and systems.
• Contribute to the development of comprehensive documentation and training materials for AI solutions.
• Engage with clients and stakeholders to understand their needs and demonstrations of AI capabilities.

Qualifications

• Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• A minimum of 10 years of experience in AI system design and development, with a strong emphasis on generative models.
• Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks such as TensorFlow or PyTorch.
• Experience with data processing techniques and tools, including SQL, Spark, or similar.
• Strong knowledge of machine learning algorithms, statistical modeling, and data analysis.
• Exceptional problem-solving skills and the ability to work under pressure to meet tight deadlines.
• Excellent communication and interpersonal skills with a demonstrated ability to work collaboratively.

Technologies & Tools

The position will require proficiency in various technologies and tools critical to the development of generative AI systems. Key technologies include machine learning frameworks such as TensorFlow and PyTorch, programming languages like Python and Java, data manipulation tools such as SQL and Apache Spark, as well as cloud platforms including AWS, Google Cloud, or Azure for deployment and scalability of AI solutions. Additionally, familiarity with version control systems like Git and DevOps practices will enhance the productivity and efficiency of the engineering teams.

Ideal Candidates

Ideal candidates for the Distinguished Engineer, Generative AI Systems position should demonstrate a passion for artificial intelligence and a strong desire to push the boundaries of what is possible through technology. They possess a strategic mindset, with the ability to think critically and innovate within complex AI frameworks. A proven track record of successful collaboration in cross-functional teams, along with leadership capabilities to inspire and mentor others, is crucial. Additionally, the ability to communicate complex technical concepts effectively to a non-technical audience is essential for driving stakeholder engagement and meeting business objectives.